Podcasts about hdsi

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

OpenAI researcher Adam Kalai sits down with UC San Diego professor to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]

OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]

OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]

OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]

Computer technology is evolving at a rapid pace, but have you ever wondered how computer scientists are able to make the devices we use on a every day basis so fast? How do machine learning computers and artificial intelligence work at such a high capacity? The work of theoretical computer scientists, that use math instead of programming to provide a rigorous framework for understanding what computation is, how it can be performed, and what its limitations are. In a first for Science Like Me, two guests... postdoctoral research scientist Yinzhan Xu and Ph.D. student Chris Ye discuss their theoretical computer science work with EnCORE, the Institute for Emerging CORE Methods in Data Science and how by applying math to find different ways of solving problems and making computations more efficient. Series: "Science Like Me" [Science] [Show ID: 40378]

Computer technology is evolving at a rapid pace, but have you ever wondered how computer scientists are able to make the devices we use on a every day basis so fast? How do machine learning computers and artificial intelligence work at such a high capacity? The work of theoretical computer scientists, that use math instead of programming to provide a rigorous framework for understanding what computation is, how it can be performed, and what its limitations are. In a first for Science Like Me, two guests... postdoctoral research scientist Yinzhan Xu and Ph.D. student Chris Ye discuss their theoretical computer science work with EnCORE, the Institute for Emerging CORE Methods in Data Science and how by applying math to find different ways of solving problems and making computations more efficient. Series: "Science Like Me" [Science] [Show ID: 40378]

Computer technology is evolving at a rapid pace, but have you ever wondered how computer scientists are able to make the devices we use on a every day basis so fast? How do machine learning computers and artificial intelligence work at such a high capacity? The work of theoretical computer scientists, that use math instead of programming to provide a rigorous framework for understanding what computation is, how it can be performed, and what its limitations are. In a first for Science Like Me, two guests... postdoctoral research scientist Yinzhan Xu and Ph.D. student Chris Ye discuss their theoretical computer science work with EnCORE, the Institute for Emerging CORE Methods in Data Science and how by applying math to find different ways of solving problems and making computations more efficient. Series: "Science Like Me" [Science] [Show ID: 40378]

Computer technology is evolving at a rapid pace, but have you ever wondered how computer scientists are able to make the devices we use on a every day basis so fast? How do machine learning computers and artificial intelligence work at such a high capacity? The work of theoretical computer scientists, that use math instead of programming to provide a rigorous framework for understanding what computation is, how it can be performed, and what its limitations are. In a first for Science Like Me, two guests... postdoctoral research scientist Yinzhan Xu and Ph.D. student Chris Ye discuss their theoretical computer science work with EnCORE, the Institute for Emerging CORE Methods in Data Science and how by applying math to find different ways of solving problems and making computations more efficient. Series: "Science Like Me" [Science] [Show ID: 40378]

Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]

Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]

Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]

Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Series: "Science Like Me" [Science] [Show ID: 39710]

Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design. Series: "Science Like Me" [Science] [Show ID: 39342]

Settle in on the boat, the back porch, the car, or wherever you like to listen to awesome shows and get ready for what Jim Hodge of Hodge Defense has for ya in this inaugural episode of the JBS Training Group Podcast.  We hit on the topics you want to know about like; What's so special about HDSI products? Who is Jim Hodge and how did HDSI come about? Why does he choose to spend so much energy in certain parts of a rifle? Where is Hodge Defense headed in the future? We had some great questions submitted by the audience on this episode and more!  If you would like to check out Hodge Defense products, we always recommend our friends at Big Tex Ordnance for any and all shooting gear. www.bigtexordnance.com Use Discount code “JBSTG10” at checkout to save 10%!!  Check the JBS website for updated info on upcoming classes and get signed up for the newsletter to get the latest info on upcoming podcast guests, shooting events, new gear I'm testing, and the freshest merch drops in the game. www.JBSTrainingGroup.com Be sure to subscribe to JBS Training Group's YouTube channel for tips on shooting and gear. Hear my thoughts on the Leupold Mk5 2x-10x See y'all on the range!!

When not teaching at computer science at the UC San Diego, Barna Saha serves as the director of The Institute for Emerging Core Methods in Data Science (EnCORE). EnCORE is a National Science Foundation (NSF) Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS) program housed at UC San Diego's Halıcıoğlu Data Science Institute. She talks with Saura Naderi about her early interest in data science and some of the amazing work being done with EnCORE. She also talks about the importance of getting more young women interested in STEM fields like data science. Series: "Science Like Me" [Science] [Show ID: 38550]

When not teaching at computer science at the UC San Diego, Barna Saha serves as the director of The Institute for Emerging Core Methods in Data Science (EnCORE). EnCORE is a National Science Foundation (NSF) Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS) program housed at UC San Diego's Halıcıoğlu Data Science Institute. She talks with Saura Naderi about her early interest in data science and some of the amazing work being done with EnCORE. She also talks about the importance of getting more young women interested in STEM fields like data science. Series: "Science Like Me" [Science] [Show ID: 38550]

When not teaching at computer science at the UC San Diego, Barna Saha serves as the director of The Institute for Emerging Core Methods in Data Science (EnCORE). EnCORE is a National Science Foundation (NSF) Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS) program housed at UC San Diego's Halıcıoğlu Data Science Institute. She talks with Saura Naderi about her early interest in data science and some of the amazing work being done with EnCORE. She also talks about the importance of getting more young women interested in STEM fields like data science. Series: "Science Like Me" [Science] [Show ID: 38550]

When not teaching at computer science at the UC San Diego, Barna Saha serves as the director of The Institute for Emerging Core Methods in Data Science (EnCORE). EnCORE is a National Science Foundation (NSF) Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS) program housed at UC San Diego's Halıcıoğlu Data Science Institute. She talks with Saura Naderi about her early interest in data science and some of the amazing work being done with EnCORE. She also talks about the importance of getting more young women interested in STEM fields like data science. Series: "Science Like Me" [Science] [Show ID: 38550]

When not teaching at the University of Pennsylvania, CJ Taylor is part of the Robotics team working on The Institute for Learning-Enabled Optimization at Scale (TILOS) at UC San Diego's Halıcıoğlu Data Science Institute. He talks with Saura Naderi about his upbringing, his early interest in data science and his current position. He also talks about his involvement in projects that benefit the community. Series: "Science Like Me" [Science] [Show ID: 38501]

When not teaching at the University of Pennsylvania, CJ Taylor is part of the Robotics team working on The Institute for Learning-Enabled Optimization at Scale (TILOS) at UC San Diego's Halıcıoğlu Data Science Institute. He talks with Saura Naderi about his upbringing, his early interest in data science and his current position. He also talks about his involvement in projects that benefit the community. Series: "Science Like Me" [Science] [Show ID: 38501]

When not teaching at the University of Pennsylvania, CJ Taylor is part of the Robotics team working on The Institute for Learning-Enabled Optimization at Scale (TILOS) at UC San Diego's Halıcıoğlu Data Science Institute. He talks with Saura Naderi about his upbringing, his early interest in data science and his current position. He also talks about his involvement in projects that benefit the community. Series: "Science Like Me" [Science] [Show ID: 38501]

When not teaching at the University of Pennsylvania, CJ Taylor is part of the Robotics team working on The Institute for Learning-Enabled Optimization at Scale (TILOS) at UC San Diego's Halıcıoğlu Data Science Institute. He talks with Saura Naderi about his upbringing, his early interest in data science and his current position. He also talks about his involvement in projects that benefit the community. Series: "Science Like Me" [Science] [Show ID: 38501]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Who has access to data and what can be done with that data? Shannon Ellis, Ph.D., shares how she is training undergraduate students to be effective, inclusive and ethical data scientists. She discusses how data can be used, the limits of data science, and the barriers and biases that may shape data sets and potential conclusions. Series: "Data Science Channel" [Science] [Education] [Show ID: 37838]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]